tree: 746ded56566c178b127ed6aeb934864ed2f297d2
  1. dropwizard-metrics/
  2. interface/
  3. micrometer-metrics/
  4. pom.xml
  5. ReadMe.md
metrics/ReadMe.md

Metric Module

1. Design

1.1. Over all Design for acquisition System

  1. The acquisition system consists of following four parts.
    1. Metrics:Provide tools for collecting metric in different scenarios, including Counter, Gauge, Meter, Histogram, Timer, each with tags.
    2. MetricManager
      1. Provides functions such as creating, finding, updating, and deleting metrics.
      2. Provides the ability to introduce default metrics(Known Metric).
      3. Provides its own start and stop methods.
    3. CompositeReporter
      1. Provides management of reporter, including starting and stopping reporter.
      2. Push the collector's data to other systems, such as Prometheus, JMX, etc.
    4. MetricService
      1. Provide metricManager and reporter start-up.
      2. Provide the access of metricManager and the control of reporters.
      3. MetricService can be used in the future after being registered as Iservice.
  2. The structure of acquisition system(TODO)

1.2. Class diagram

2. Test Report

We implemented the monitoring framework using Dropwizard and Micromometer respectively, and tested the results as follows:

2.1. Test Environment

  1. Processor:Inter(R) Core(TM) i7-1065G7 CPU
  2. RAM: 32G

2.2. Test Metrics

  1. We use a single thread to create counter and run the test cases separately in two frameworks of Microsoometer and Dropwizard. The test metrics as follows:
    1. memory : Memory usage in MB.
    2. create : The time required to create, in ms.
    3. searchInorder : The time required for the sequential query, in ms.
    4. searchDisorder : The time required for random queries in ms.

2.3. Test parameters

  1. metric : test metric
  2. name : The name of the test metric, unify to one length.
  3. tag : The tag of the test metric, unify to one length.
  4. metricNumberTotal:The number of metrics tested.
  5. tagSingleNumber:Number of tags of the test metric.
  6. tagTotalNumber:The number of tag pools, the default is 1000, all
  7. tags are taken out of the tag pool.
  8. searchNumber:The number of queries, the default is 1000000.
  9. loop:The number of query loops, the default is 10.

2.4. Test Result

3. How to use?

  1. firstly, you need to set up some system property, for example:
System.setProperty("line.separator", "\n");
System.setProperty("IOTDB_CONF", "metrics/dropwizard-metrics/src/test/resources");
  1. Then, you can modify iotdb-metric.yml as you like, some details:
propertiesmeaningexample
enableMetricwhether enable the moduletrue
metricReporterListthe list of reporterjmx, prometheus
monitorTypeThe type of monitor managerDropwizard, Micrometer
pushPeriodInSecondthe period time of push(used for prometheus, unit: s)5
  1. After all above, you can use it in the following way
    1. use MetricService.getMetricManager() to get metric manager.
    2. use the method in metric manager, method details in metrics/interface/src/main/java/org/apache/iotdb/metrics/MetricManager
  2. example code
public class PrometheusRunTest {
  public MetricManager metricManager = MetricService.getMetricManager();

  public static void main(String[] args) throws InterruptedException {
    System.setProperty("line.separator", "\n");
    System.setProperty("IOTDB_CONF", "metrics/dropwizard-metrics/src/test/resources");
    PrometheusRunTest prometheusRunTest = new PrometheusRunTest();
    Counter counter = prometheusRunTest.metricManager.getOrCreateCounter("counter");
    while (true) {
      counter.inc();
      TimeUnit.SECONDS.sleep(1);
    }
  }
}

4. How to implement your own metric framework?

  1. implement your MetricManager
    1. The name of MetricManager should start with monitorType, MetricService will init manager according to the prefix of class name.
    2. You need to create src/main/resources/META-INF/services/org.apache.iotdb.metrics.MetricManager,and record your MetricManager class name in this file, such as org.apache.iotdb.metrics.dropwizard.DropwizardMetricManager
  2. implement your reporter
    1. You need to implement jmx reporter and prometheus reporter, notice that your jmx bean name should be unified as org.apache.iotdb.metrics
    2. The name of your reporter should also start with monitorType
    3. You need to create src/main/resources/META-INF/services/org.apache.iotdb.metrics.Reporter,and record your MetricManager class name in this file, such as org.apache.iotdb.metrics.dropwizard.reporter.DropwizardPrometheusReporter
  3. implement your specific metric
    1. They are counter, gauge, histogram, histogramSnapshot, rate and timer.
    2. These metrics will be managed by your MetricManager, and reported by your reporter.
  4. extends preDefinedMetric module:
    1. you can add value into metrics/interface/src/main/java/org/apache/iotdb/metrics/utils/PredefinedMetric, such as System and Thread.
    2. then you need to fix the implementation of enablePredefinedMetric(PredefinedMetric metric) in your manager.

5. Some docs

  1. Monitor Module
  2. Monitor Module(zh)